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Real-time automatic sea-floor change detection from video
K. Lebart, E. Trucco, D. M. Lane
School of Engineering & Physical Sciences
Research output
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Contribution to journal
›
Article
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peer-review
14
Citations (Scopus)
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Dive into the research topics of 'Real-time automatic sea-floor change detection from video'. Together they form a unique fingerprint.
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INIS
detection
100%
images
100%
seas
100%
underwater
100%
floors
100%
algorithms
66%
data
33%
information
33%
classification
33%
space
33%
surveys
33%
exploitation
33%
Computer Science
Data Exploitation
100%
Context Change
100%
Image Classification
100%
Image Content
100%
Feature Space
100%
Experimental Result
100%
Classification Scheme
100%
Engineering
Experimental Result
100%
Classification Scheme
100%
Sea Floor
100%
Tape
100%
Image Classification
100%
Feature Space
100%
Image Content
100%
Earth and Planetary Sciences
Sea Bed
100%
Real Time
100%
Change Detection
100%
Unsupervised Image Classification
50%